Submitted to: Abstract of Agronomy Meetings
Publication Type: Abstract Only
Publication Acceptance Date: September 10, 2002
Publication Date: February 10, 2003
Citation: Timlin, D.J., Pachepsky, Y.A., Walthall, C.L. 2003. A mix of scales: topographic information, point samples, yield maps and remotely sensed data [abstract]. Abstract of Agronomy Meetings.
The use of remote sensing and yield monitoring technologies have greatly added to available data on soil and crop properties, and conditions. These data contain much potentially useful information regarding the distribution of important soil properties such as water availability, and can be used to characterize soil management zones. Because these data provide more or less continuous distribution of measurements, they may be useful to help interpolate values of soil properties which must be manually collected. These properties include soil texture, and soil water holding capacity among others. These manually collected data are often discontinuous and represent localized sites and small scales. We discuss the use of soil topographic variables such as slope and curvature that can be used to tie together measurements from different scales. We further discuss statistical tools, such as Spatial Autoregression, which corrects for spatial autocorrelation and can be more effective in accounting for local information when developing calibration equations. Stochatistic imaging can also be useful to interpolate point measurements, especially if the spatial structure can be estimated by using more continuous and dense data such as from remote sensing.